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Loops, ladders and links: the recursivity of social and machine learning

Machine learning algorithms reshape how people communicate, exchange, and associate; how institutions sort them and slot them into social positions; and how they experience life, down to the most ordinary and intimate aspects. In this article, we draw on examples from the field of social media to re...

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Detalles Bibliográficos
Autores principales: Fourcade, Marion, Johns, Fleur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448267/
https://www.ncbi.nlm.nih.gov/pubmed/32863532
http://dx.doi.org/10.1007/s11186-020-09409-x
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author Fourcade, Marion
Johns, Fleur
author_facet Fourcade, Marion
Johns, Fleur
author_sort Fourcade, Marion
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description Machine learning algorithms reshape how people communicate, exchange, and associate; how institutions sort them and slot them into social positions; and how they experience life, down to the most ordinary and intimate aspects. In this article, we draw on examples from the field of social media to review the commonalities, interactions, and contradictions between the dispositions of people and those of machines as they learn from and make sense of each other.
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spelling pubmed-74482672020-08-26 Loops, ladders and links: the recursivity of social and machine learning Fourcade, Marion Johns, Fleur Theory Soc Article Machine learning algorithms reshape how people communicate, exchange, and associate; how institutions sort them and slot them into social positions; and how they experience life, down to the most ordinary and intimate aspects. In this article, we draw on examples from the field of social media to review the commonalities, interactions, and contradictions between the dispositions of people and those of machines as they learn from and make sense of each other. Springer Netherlands 2020-08-26 2020 /pmc/articles/PMC7448267/ /pubmed/32863532 http://dx.doi.org/10.1007/s11186-020-09409-x Text en © Springer Nature B.V. 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Fourcade, Marion
Johns, Fleur
Loops, ladders and links: the recursivity of social and machine learning
title Loops, ladders and links: the recursivity of social and machine learning
title_full Loops, ladders and links: the recursivity of social and machine learning
title_fullStr Loops, ladders and links: the recursivity of social and machine learning
title_full_unstemmed Loops, ladders and links: the recursivity of social and machine learning
title_short Loops, ladders and links: the recursivity of social and machine learning
title_sort loops, ladders and links: the recursivity of social and machine learning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448267/
https://www.ncbi.nlm.nih.gov/pubmed/32863532
http://dx.doi.org/10.1007/s11186-020-09409-x
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